Microsoft Fabric consulting
We help your teams use Microsoft Fabric to answer business questions and automate recurring data work. Databasin prepares the source records and business measures alongside your existing platform. Our team implements the use case and supports rollout, so people can use the result in their daily work.
Business questions the rollout must answer
We identify what is missing between the Fabric environment and the question people need answered. That may be a source connection, a calculation or a way to combine records from different departments. We follow those records through the existing work before defining the implementation.
Databasin supplies connections and preparation alongside Fabric. We build the use case around the parts already working and help people adopt the result. The source and modeling work then have a clear purpose in the application, with rollout and training included in the delivery.
What we implement alongside Fabric
Source preparation
We connect the records needed for the business question and prepare them for delivery to the destination.
Business measures
We implement the calculations business owners agree so teams can analyze the data using shared measures.
Application rollout
We build the use case, train its users and assess the result against the improvement defined during design.
How does data reach Fabric?
A Databasin pipeline can send data into your Fabric workspace. The destination shares scheduling and monitoring tooling with the ADLS and Databricks routes.
We configure the source, transformations and destination for the application. The team can inspect pipeline status and see the preparation behind the records supplied to Fabric. Those records can then support the downstream analysis.
What happens next
We would like to hear where your team wants to make progress with data and AI. We can discuss a project you have in mind or explore where Databasin could help with the work.
What happens next
Book a demo
Book a conversation about your organization and the work you want to improve. Questions about where to start are welcome.
Explore the opportunity
We show a working example that answers your business questions, then discuss what it would take to deliver it for your team.
Get the first result
After agreeing the first use case, we implement it with your team. We train the people using it and measure how it performs.
FAQ
Do working Fabric pipelines need to be rebuilt?
A working pipeline can stay in the design. We look at the records it supplies and where the remaining gap lies. Databasin can add a source or preparation alongside that existing work.
Can this include Epic data for a health system?
Yes. We implement the Epic connector and pipeline alongside Fabric. Local mappings and approved access determine how Clarity and available Caboodle records are prepared for the business or research question.
Can Workday history feed a Fabric project?
Yes. Workday data can feed a Fabric destination through Databasin. We prepare its effective-dated history and object relationships so the application uses the assignments and measures for the period under review.
Can our existing SQL transformations form part of the work?
Yes. We examine the existing SQL and where it runs. Reusable calculations become part of the workflow, with source tasks before them and dependent analysis afterwards.
Can business users ask questions in plain language?
Databasin One can answer questions from the prepared views and attach the SQL. Modeling and AI are supported with the Fabric route. We implement the records, definitions and access for those questions.
How is the connection reviewed by our security team?
We describe the source records, connection and requested permissions. Your security owners approve that design. We then configure the application in the selected environment, including your Azure deployment when needed.
Will the analysis reflect every source change immediately?
Analysis reflects the source records available after the configured preparation. We define the refresh schedule and reporting period around the business need. Opening a report uses those available records.
Does the engagement include help for report users?
Yes. We help users learn the application and its measures. Communication, rollout and training are part of build, and success measurement follows the intended improvement into everyday use.
What is the first delivery milestone?
The first use case goes live in 90 days. We define its outcome in design and include rollout and training in build, giving the organization a working result to develop further.
Can you continue helping after the Fabric use case is live?
Yes. Our team can run the work, offer monthly support hours or remain on call. We agree the responsibilities after launch and how further work can build on the existing preparation.
Discuss the next Fabric use case
Talk with us about what your people need from Fabric and what has made it difficult to deliver. We can explore the current work, the result you want and how Databasin could help.